International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) Web Site: www.ijettcs.org Email:
[email protected] Volume 6, Issue 4, July- August 2017 ISSN 2278-6856 Modern Technologies of BigData Analytics: Case study on Hadoop Platform Dharminder Yadav1, Umesh Chandra2 1Research Scholar, Computer Science Department, Glocal University, Saharanpur, UP, India 2PhD, Assistant Professor, Computer Science Department, Glocal University, Saharanpur, UP, India Abstract exchange, banking, on-line and on-site procuring [2]. Data is growing in the worldwide by daily activities, by using the Enormous Information as an examination subject from a hand-held devices, the Internet, and social media sites.This few focuses course of events, paper main discusses about data processing by using various geographic yield, disciplinary output, types of distributed tool of Hadoop.This present study cover most of the tools used papers, topical and theoretical advancement. The Big Data in Hadoop that help in parallel processing and MapReduce. challenges define in 6V's that are variety, velocity, volume, The day since BigData term introduced to database world , Hadoop act like a savior for most of the large, small value, veracity, and volatility [23]. organization. Researchers will definitely found a way through Hadoop to work huge data concept and most of the researchers are being done in the field of BigData analytics and data mining with the help of Hadoop. Keywords— Big Data, Hadoop, HDFS (Hadoop Distributed File System), NOSQL 1.INTRODUCTION Big Data provide storage and data processing facilities to Cloud computing [26]. Big data comes around 2005 but now it is used everywhere in daily life, which alludes to an expansive scope of informational collections practically difficult to manage, handle and prepare utilizing accessible Volume: Data is growing exponentially by daily activities regular apparatuses and information administration which we handle.